---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter4_sftsd1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# collapse_gemma-2-2b_hs2_replace_iter4_sftsd1

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2615
- Num Input Tokens Seen: 8543104

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3956          | 0                 |
| 1.5484        | 0.0318 | 5    | 1.3101          | 278776            |
| 1.085         | 0.0636 | 10   | 1.2389          | 553696            |
| 0.9004        | 0.0954 | 15   | 1.2791          | 827056            |
| 0.6616        | 0.1272 | 20   | 1.4012          | 1104568           |
| 0.4986        | 0.1590 | 25   | 1.5346          | 1374176           |
| 0.3579        | 0.1908 | 30   | 1.6346          | 1652112           |
| 0.174         | 0.2226 | 35   | 1.8294          | 1920080           |
| 0.1501        | 0.2544 | 40   | 1.9929          | 2190160           |
| 0.0726        | 0.2862 | 45   | 2.1418          | 2461008           |
| 0.0577        | 0.3180 | 50   | 2.2236          | 2733848           |
| 0.0399        | 0.3498 | 55   | 2.2644          | 3013016           |
| 0.04          | 0.3816 | 60   | 2.2704          | 3278704           |
| 0.0398        | 0.4134 | 65   | 2.2606          | 3562656           |
| 0.0475        | 0.4452 | 70   | 2.2814          | 3834984           |
| 0.0332        | 0.4769 | 75   | 2.2999          | 4109144           |
| 0.0352        | 0.5087 | 80   | 2.2843          | 4381312           |
| 0.0369        | 0.5405 | 85   | 2.2426          | 4652664           |
| 0.0333        | 0.5723 | 90   | 2.2229          | 4923152           |
| 0.029         | 0.6041 | 95   | 2.2462          | 5195000           |
| 0.0306        | 0.6359 | 100  | 2.2501          | 5458808           |
| 0.0307        | 0.6677 | 105  | 2.2394          | 5732184           |
| 0.0367        | 0.6995 | 110  | 2.2141          | 6004504           |
| 0.03          | 0.7313 | 115  | 2.2083          | 6272888           |
| 0.0282        | 0.7631 | 120  | 2.2138          | 6546192           |
| 0.0288        | 0.7949 | 125  | 2.2392          | 6808560           |
| 0.0292        | 0.8267 | 130  | 2.2351          | 7076096           |
| 0.028         | 0.8585 | 135  | 2.2202          | 7349312           |
| 0.0303        | 0.8903 | 140  | 2.2292          | 7627368           |
| 0.0285        | 0.9221 | 145  | 2.2498          | 7893744           |
| 0.0261        | 0.9539 | 150  | 2.2720          | 8162232           |
| 0.0317        | 0.9857 | 155  | 2.2699          | 8431896           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1